Filament

Filament is a digital performance agency specialising in B2B growth for tech businesses and vendor channel programs.

Managing Director

Volt Lab

Volt Lab is a plug-in strategic partner with a clear mission to help our clients spark growth. Working at the intersection of organisational strategy, marketing strategy and sales strategy, we take a whole of customer value approach to create insight-led customer conversations.

OM ThreeSixty

OM ThreeSixty was a Fremantle WA based agency creating value for businesses across Asia-Pacific region through strategy, creativity, engaging lead generation and lead nurturing.

Strategic Specialists Group

Building sustainable growth and accelerating progress towards a succession or successful exit for business owners and leaders, in partnership with Strategic Specialists Group. Developing and delivering customised plans of action, to manage risk and grow the business.

Strategy & Marketing Director

Black Rider Press

Black Rider Press was a groundbreaking literary hootenanny celebrating Australian and international poets and authors with much hootin’ and hollerin’. Look homeward, angels!

Founder & CEO

Evolve Leadership

Senior Consultant - Strategy & Communication

Vose College of Higher Education

Business Communication, Marketing Lecturer

(various)

Various Marketing, Corporate Affairs & Comms Management Roles in Finance Sector

I'm the Managing Director and co-founder of Filament, a digital agency specialising in Go-to-Market strategy and partner marketing for B2B tech companies and vendor channel programs.

Over the last 17 years, I've worked with diverse companies to build and expand marketing frameworks, deploy demand gen and lead gen programs, enter new markets, unlock support from tech vendors, and increase market share. 

Tech companies and vendor channel programs I’ve supported include VMware, Microsoft, Dell, Cisco, HPE, AWS, Google, IBM, NetApp, Veeam, Tata, Zerto, Dropbox, Nutanix, Symantec and Splunk.

This has meant I’m experienced in working with a variety of B2B tech company and channel partner types, including:

👉 Independent Software Vendors (ISVs)
👉 Managed Service Providers (MSPs), Value-Added Resellers (VARs) and System Integrators (SIs)
👉 Cloud-based service providers, including IaaS, PaaS and SaaS companies
👉 Cybersecurity and Managed Security Service Providers (MSSPs)
👉 Edge infrastructure and IoT providers
👉 Virtualization and application deployment specialists
👉 Data centres, and
👉 Distributors and Aggregators.

Prior to leading agencies I was primarily leading marketing and communications programs in the finance and investment sector.

Key career highlights I’m proud of include:

✅ Articulating the state of mobile marketing for Google SE Asia, in partnership with Capitalis
✅ Supporting Australian tech companies to enter and expand in the US
✅ Significantly growing a channel program by 4x in 12 months
✅ Leading the corporate communications on a $47.1 million off-market transaction of an investment firm with $3 billion FUM
✅ Expanding a SaaS multinational's footprint in SE Asia

Jeremy Balius

From keywords to context, AI is completely reshaping compliance in regulated industries like financial services.

In this Tech Exec Insights conversation, Sreekanth Sreevalsam, VP of ANZ at ASC Technologies, shared something that really stuck with me:

“Compliance is evolving from a list of words to understanding behaviours in context.”

Traditionally, compliance teams relied on lexicons and keyword spotting, scanning for words like “guarantee” or “front run” to detect risk.

But as Sree points out, people don’t speak in compliance dictionaries anymore. We use slang, emojis, sarcasm, shorthand, and AI is now able to interpret intent, roles, and relationships within the conversation.

That’s a pretty full-on shift.

It means compliance teams can move from reactive keyword chasing to proactive risk understanding, powered by contextual AI that knows who’s speaking, to whom, and why it matters.

It’s a fascinating evolution that’s redefining what “compliance monitoring” even means in 2025.

Watch this short clip with Sree to hear how AI is changing the game for regulated industries.

#AI #Compliance #FinancialServices #VoiceAnalytics #MicrosoftTeams #RegTech #TechExecInsights #Filament

I help B2B tech companies go to market faster. Founder with 1 exit.

MSP growth in 2026 means going beyond traditional IT services to drive deeper value for their clients.

In my conversation with Sreekanth Sreevalsam, VP at ASC Technologies ANZ, he said something that really stuck with me:

“You have to move the conversation from ‘Have you done your call recording?’
 to ‘What are we learning from those recorded conversations?’”

That one line captures exactly how MSPs can evolve their value proposition.

Tick-box compliance means archiving voice or video recordings just because regulators require it. 

It's just sitting there in object storage.

The real opportunity lies in turning that data into business intelligence.

When MSPs help clients uncover why customers churn, how sales teams perform, or where service quality drops, they’re no longer just keeping systems running — they’re driving insight, strategy, and growth.

Sree’s message is clear: compliance data can mean more than just backups in storage. 

It’s strategic intelligence waiting to be unlocked.


#MSP #AI #compliance #businessintelligence #dataanalytics #voiceanalytics #microsoftteams #TechExecInsights #filament #asctechnologies

If your referral partners aren’t sending you leads, it’s not an incentive problem. It’s a... 

Value problem

In this clip from my Tech Exec Insights conversation with Derek Morgan from Referral Marketing Ideas, he challenges a common referral incentivisation belief with: 

More rewards or bigger commissions don't magically make partners refer.

“Forget incentives. Swap out the word incentive for the word value. What is your value proposition to the person you want to refer — and is that value actually important to them?”

It’s such a clear and uncomfortable truth.

If your partners aren’t referring, your offer probably doesn’t align with what they care about. 

Or you're not leading with value, or not providing meaningful value to your partners.

When you tie your value proposition to what matters most in their business, 𝐍𝐎𝐓 𝐘𝐎𝐔𝐑𝐒, they take you to market every day.

That’s when partnerships evolve from transactional to transformational.

#referralmarketing #partnerecosystem #gotomarket #salesleadership #B2Bpartnerships #partnermarketing #techexecinsights #filament

“Freedom with accountability.”

That’s how Vicki Flower, Fractional CMO and Founder of Chief MO, defines the foundation of a high-performing marketing team.

In this clip from our Tech Exec Insights conversation, Vicki shares why great marketing leaders trust the experts in the room.

And why micromanagement kills creativity, confidence, and ultimately performance.

She makes an important point:

➞ Even if you don’t have the perfect organisational environment, great leaders create one by giving their team freedom within clear boundaries, and holding them accountable to meaningful goals.

It’s a powerful reminder for anyone leading marketing talent in today’s complex environments. 

When you empower smart people and let them own their craft, you don’t just get better output.

You build a high-performance culture that delivers impact.

Thank Vicki, for all your insights and advice!

Businesses that want referrals are 'hoping' for them. It's not by design.

In this clip from my conversation with Derek Morgan from Referral Marketing Ideas, he explains why referral marketing is a business’s true competitive advantage.

“Referral marketing isn’t buffeted by the latest trends or algorithms. It’s programmatic, systemised, and predictable. You do it through strategic referral partnerships, not luck.”

It’s a powerful reminder that consistency in lead flow doesn’t come from chasing the newest shiny object or 'growth hack'.

When you develop and nurture the right partnerships, with the right process,  you can repeat and scale predictable growth.

#referralmarketing #partnerships #partnerecosystem #techexecinsights

Cosmo Tech

Cosmo Tech is a pioneer in enterprise AI simulation software, revolutionizing decision-making by seamlessly integrating artificial intelligence, advanced simulation, and digital twin technology to model intricate business ecosystems. 

Our platform enables organizations to simulate thousands of "what-if" scenarios across complex operations, empowering leaders to confidently optimize decisions that balance operational efficiency, sustainability, and financial performance.

Vice President of Sales, North America

The ABplatform

The AB Platform helps businesses grow faster by creating and managing high performance Advisory Boards tailored to meet the unique needs of each business.

Advisory Board Member

SalesGSS

I help busy B2B Tech & SaaS company CEO’s and sales leaders accelerate their sales growth. 

Are you ready to double sales in 2025? 

Find out in 5 minutes. Take The Sales Accelerator Assessment today https://salesgss.com/assessment

Struggling to hit your sales goals? 

Schedule a Sales Accelerator Strategy Audit today https://calendly.com/stevelitzow/audit

Chief Sales Accelerator

Ekahau

B2B Global Wi-Fi network design and management company offering SaaS/software/hardware to SMB and Fortune 500 enterprises. $65M in annual revenue, a Ziff Davis portfolio company.

Led global team of 6 direct reports and 130 people, across North America, EMEA and APAC including new business, SDR, business development, channel management, sales operations, sales engineering, order operations and customer success.

•	Achieved 2x revenue growth ($25M to $65M) and 400% EBITDA increase ($7M to $32M) over five years by implementing performance-driven sales training, strategic pricing, and streamlined go-to-market tactics.
•	Developed scalable sale process, systems, Rhythm of the Business - to profitably invest in sales growth and scale for a globally distributed organization including KPI metrics and dashboards to forecast and course correct consistently achieving monthly and quarterly targets for our publicly traded holding company (Nasdaq: ZD).
•	Recruited and coached a 130-member global sales team across Americas, EMEA, and APAC, developing quota-achievement strategies to ensure consistent over-performance, reducing per-employee costs by 25% and sustaining revenue growth through a balanced talent strategy.
•	Built a strategic, proactive channel program to attach Ekahau to new network sales by creating an ecosystem value play that brought together resellers and distributors with network vendors (CDW, WWT, Ingram Micro, Cisco, Aruba, etc.) expanding global partner networks to over 900 partners.

Senior Vice President, Global Sales (SaaS & Hardware)

ControlCase

B2B Global cyber-security company offering a Compliance SaaS platform to mid-size and Fortune 500 enterprise companies. $20M annual revenue, a Private Equity portfolio company.

Led team of 3 direct reports and 12 people across North and South America including sales, marketing, sales operations, and customer success.
•	Delivered 34% YoY revenue growth $14.9M to $20M through sales team restructuring, sales process and systems optimization and implementing KPI-focused performance review
•	Enhanced multi-year contract values by 150% and increased expansion revenue by 300% from $1.5M to $4.5M through upsell-focused account management and targeted cross-selling initiatives.
•	Pioneered a Customer Success Management program featuring a Health Score Dashboard, identifying upsell opportunities and reducing churn rates through proactive client engagement.

President, Americas Sales

Altus Alliance

Led sales consulting engagements focused on revenue growth for technology and non-technology clients.

Achievements:
	•	Optimized sales organization and processes for a mid-size CPG manufacturer, resulting in a 36% sales increase.
	•	Led sales efforts for an Amazon-Only Manufacturer’s Representative, achieving 15% annual growth and onboarding 20 new clients annually.

Partner

Healthentic

B2B Healthcare informatics company offering SaaS analytics platform & services to enterprises, multiemployer plan sponsors and benefit plans. $20M annual revenue, a Delta Dental's portfolio company.

Directed sales strategy for a $20M SaaS healthcare analytics platform under Delta Dental, prioritizing data-driven outreach and strategic account expansion.

Led team of 6 people covering the United States including sales, business development and SDR team. 
•	Doubled annual contract value from $5M to $10Mby refining go-to-market strategy, sharpening the ideal customer profiles, and streamlining the sales process and systems.
•	Drove 10x lead growth by establishing a dedicated inside sales team and deploying targeted email and call outreach strategies.

Vice President, Sales

EMM Group, Inc.

A management consulting firm specializing in enterprise marketing management for the Fortune 500 Client Partner – highlighted engagements included
· Clorox, USAA, Samsung Worldwide, Microsoft, Reliant Energy

Client Partner

SHAREBUILDER SECURITIES CORP

· Acquired 350,000 new accounts at 1/3 the cost of the industry average through performance marketing & affiliate integrated strategy
· Led development and management of co-marketing programs for over 250 partners including Costco, Wal-Mart, Sun Trust, and Continental Airlines
- Held FINRA Series 7 License

Vice President, Marketing & Channel Sales

XpenseWise

Raised $6M; awarded two US patents for a marketing technology start-up.

CEO & Co-Founder

Cosmo Tech | The Decision Twin Platform for Supply Chain, Finance & Asset Leaders at Fortune 500 Scale | Simulate Tomorrow. Decide Today.

Over the past 30 years, I’ve led sales teams at fast-growing Tech & SaaS companies — to rebuild and refine the strategies and systems so sales teams can scale and drive revenue growth.

In recent roles, I was able:

- double revenue while EBITDA grew 400%
- drive a +34% YoY revenue growth

Today I’m working with Cosmo Tech to help enterprises simulate the future for faster decisions, better systems, and maximum opportunity.

That means: 

- Quantum-level decision making
- Complex system resiliency
- Future-proof roadmap

“Steve is “Instant Offense” for sales. This is very rare and very valuable. He’s truly world class at quickly creating and running strategic, data-driven sales teams to drive growth. Great at strategy and wading into the minutiae to uncover and fix and optimize the team and process.

He’s a great leader with great judgment who makes it fun to work on the most difficult challenges. He and I have worked together on two companies that were great successes.”

— Jeff O'Mara, General Manager EKAHAU/ CEO, Healthentic.

Feel free to join my newsletter below — you’ll get all my best systems and strategies for scaling sales into the future. 

Join my newsletter at www.salesgss.com/newsletter

Trying to figure out where to start to double sales in 2025? Click on my "FREE Sales Accelerator Assessment" www.salesgss.com/assessment

Steve Litzow

Part 7 of 10: Deploying agentic AI with confidence

Recap: Simulation tests failures. Optimization finds maximum value.

Today: How they create deployment confidence together.

The S&O Validation Loop:

Step 1 – Define Value (Optimization) Identify ideal configuration achieving maximum business value. "What's the best outcome?"

Step 2 – Stress Test (Simulation) Run through thousands of failure scenarios. "What breaks when this fails?"

Step 3 – Remediate (Governance) Implement guardrails, revise access, adjust configuration. "How do we fix vulnerabilities?"

Step 4 – Re-Validate Re-run until risk is acceptable. "Are we safe to deploy?"

Real deployment (Fortune 500 Logistics):
• Iteration 1: 31% cost cut / 18% failure → Reject
• Iteration 2: 24% cost cut / 4% failure → Reject
• Iteration 3: 22% cost cut / 0.8% failure → Deploy

They sacrificed 9% theoretical value for 95%+ reliability.

Renault & Fermob: Follow this discipline moving from pilots to scale.

The insight: Best design = maximum value with acceptable risk.

Wednesday: Decision-reasoning audits for regulatory readiness.

→ https://lnkd.in/g-XQXCpz

— Steve Litzow, Cosmo Tech

Part 2 of 10: Deploying agentic AI with confidence

Yesterday: Why LLM agents fail differently than RPA.

Today: Why connecting agents creates exponential opportunity—and exponential risk.

True scale comes from Compound Agents—multiple specialized agents working together like microservices.

Manufacturing example: Planning → Procurement → Scheduling → Distribution → Finance

Each specializes. Together they orchestrate outcomes impossible for monolithic systems.

The efficiency gain: 10× problem-solving capability The inherent risk: 100× cascading failure vulnerability

Why? Agent A's 0.3% error becomes Agent B's corrupted input, becomes Agent C's flawed analysis, becomes Agent D's costly mistake—amplifying at each step.

Renault's approach: Leverages Cosmo Tech simulation to model complex interdependencies across manufacturing and supply chain before deployment.
At an organizational scale, cascading failures create immediate accountability gaps.

The CFO question: How do you capture exponential value while managing exponential vulnerability?

Friday: The avalanche pattern that destroys deployments.

Have you experienced cascading failures in your automation? Share below.
→ https://lnkd.in/g-XQXCpz

— Steve Litzow, Cosmo Tech

Part 5 of 10: Deploying agentic AI with confidence

Recap: Days 1-4 showed cascading risk and why audit fails.

Today: The "what-if" capability that changes everything.

The breakthrough: Simulation provides a safe sandbox for modeling agentic deployments under stress—preventing operational crises before they happen.

Built on 20 years of ENS de Lyon research, Cosmo Tech's CoSML simulates complex system interactions with unprecedented precision.

Three critical capabilities:

1. Model Failure States Test unlimited scenarios before production: agent crashes, hallucinations, data corruption, adversarial inputs, environmental changes

2. Analyze Cascade Impact Model error propagation: Agent A's 2% error → B's 8% deviation → C's 35% failure. See the chain reaction, identify amplification points, find breaking thresholds.

3. Test Mitigation Prove guardrails work before deployment: human-in-loop protocols, security controls, failover procedures, alert thresholds

Real impact:
Michelin: Tests production/logistics plans before implementation Groupe E: Manages grid transformation costs and risks Fortune 500 Financial: Discovered guardrail failures across 1,000 edge cases before production

What you can simulate, you can safeguard.

Friday: Why optimization completes the equation.
→ https://lnkd.in/g-XQXCpz
— Steve Litzow, Cosmo Tech

Part 6 of 10: Deploying agentic AI with confidence

So far: Simulation tests "what could go wrong."
Today: Optimization answers "what's the best possible outcome?"

The CFO question: "Can we maximize value AND minimize risk—or must we choose?"

Most see a trade-off. Leaders see an optimization problem.

What optimization delivers:
Prescriptive Power: Best combination of agents/parameters for maximum outcomes

Value Alignment: Highest possible value creation
Strategic Configuration: Non-obvious configurations human analysis misses

Real examples:
Pharma: Tested thousands of configurations for drug distribution—found designs significantly outperforming human alternatives while maintaining compliance

Retail: 847-store inventory optimization balanced cost reduction with service level—achieving outcomes planners considered mutually exclusive
Groupe E: Identifies strategies managing grid costs while maintaining reliability

The power move:
Optimization outputs become high-value scenarios validated against risk using simulation—creating a feedback loop:
Optimize → Simulate → Remediate → Re-optimize → Re-simulate → Deploy with confidence

Result: Peak performance that survives stress conditions.
Monday: How S&O works together in the validation loop.

→ https://lnkd.in/g-XQXCpz
— Steve Litzow, Cosmo Tech

Most sales teams treat discovery like a warm-up. 

Elite performers treat it like a board presentation.

The data proves it: 
→ 76% longer discovery calls 
→ 43% higher win rates 
→ 12% more revenue captured

But here's what shocked me after analyzing 519,000 discovery calls: 73% of SaaS companies use qualification frameworks. 

Only 15% actually qualify their opportunities.

The gap isn't your framework. It's systematic execution.

This week's SalesGSS edition breaks it down: The DEPTH Framework — the 5-step system elite teams use to turn discovery into qualification certainty.

👉 Read it here: https://lnkd.in/gN_irPiu

When discovery turns into design, qualification turns into certainty. And certainty is what boards buy.

Data: Gong 2024, Forrester 2024, Ebsta 2023

#SalesLeadership #SalesEnablement #B2BSales #RevenueGrowth #SalesGSS

Part 8 of 10: Deploying agentic AI with confidence

Recap: S&O validation creates deployment confidence.

Today: The governance requirement separating compliant from non-compliant.
Even with perfect S&O, you need continuous monitoring and forensic readiness for the accountability gap in agentic systems.

The emerging requirement: Decision-Reasoning Audit

Traditional: Final API calls and outputs Regulatory expectation: Complete decision reasoning trail

Capture for each decision:
Agent reasoning (internal logic, not just final choice)
Internal plans (strategy before execution)
Tool selection (why specific methods)
Data inputs (what influenced decisions + quality indicators)
Alternatives considered (paths evaluated but rejected)
Confidence scores (certainty levels + rationale)

Immutable ledger: Store granular data with timestamps for forensic traceability.

Why this matters:
Financial: Regulators demand reasoning trails showing due diligence 

Healthcare/Pharma: Full traceability for supply chain decisions Energy (Groupe E): Comprehensive trails for infrastructure investments

Organizations with detailed reasoning documentation demonstrate due diligence. Those without face extended investigations and penalties.

Transparency = trust capital.

Friday: Operational infrastructure for scaling deployment.

→ Download whitepaper: https://lnkd.in/gVFJUWrC
— Steve Litzow, Cosmo Tech

Part 10 of 10: Deploying agentic AI with confidence

Series recap:

• Days 1-4: Cascading risk in agentic systems
• Days 5-7: S&O validation for deployment confidence
• Days 8-9: Audit requirements and scaling discipline

Today: The three-mandate framework your board should require.

The shift: Agentic systems aren't a technology upgrade—they're a fundamental change in operational risk approach. Compound, cascading failures require moving from rearview audit to windshield prediction.

Three Non-Negotiable Mandates:

1. Pre-Validation Deploy only configurations:
• Optimized for value
• Simulated against cascading failures
• Validated for acceptable risk

2. Full Traceability Comprehensive, immutable trails capturing:
• Decision reasoning
• Tool selection rationale
• Data sources + quality
• Alternative paths considered

3. Integrated S&O Treat S&O as:
• Continuous, self-correcting mechanism
• Core infrastructure (not optional)
• Foundation for resilience AND value

Board adoption examples:

Fortune 500 Pharma: Board-level policy achieving success rates far exceeding industry averages

Groupe E: Integrated S&O across enterprise operations
Renault: Continuous validation for digital transformation

Before approving the next agentic deployment, ask:
• Has this been pre-validated through S&O?
• Can we audit every decision?
• Is validation continuous?

If not yes to all three—you're not ready.

Built on 20 years of ENS de Lyon research, validated by Renault, Groupe E, Fermob, Michelin across industries.

The winners deploy the most trustworthy AI.

Thank you for following this series. The future of enterprise AI is confidence rooted in validated decision intelligence.

→ https://lnkd.in/g-XQXCpz → https://lnkd.in/gVFJUWrC

[Repost if this series helped your thinking on agentic AI governance]
— Steve Litzow, Cosmo Tech

Couldn’t agree more with Phillip — the ability to anticipate, not just react, is what separates leaders today.

Simulation is already helping our customers cut decision cycles, reduce risk, and move with confidence.

CEO at Cosmo Tech I Global Business Leader I Chief Technology Officer

Enterprises today face a simple truth: disruption is no longer an occasional event, it’s a constant. Supply shocks, market volatility, and regulatory 

Open article: From Intelligent to Autonomous: How AI-Simulation Unlocks the Self-Learning Enterprise by Phillip Hazen • 2 min read

From Intelligent to Autonomous: How AI-Simulation Unlocks the Self-Learning Enterprise

Friday, October 10, 2025

Part 3 of 10: Deploying agentic AI with confidence

The terrifying reality: Every agent performs flawlessly in isolation—and the system still fails.

Typical cascading failure sequence:
Minute 1: Data agent misses corrupted input (0.3% error)
Minute 15: Planning agent optimizes using bad data (3% deviation)
Hour 2: Execution agent acts on flawed plan (15% off target)
Day 1: Material financial impact
Week 1: Root cause unidentified

Traditional testing validates components individually. What's needed: testing how errors propagate downstream—modeling end-to-end cascade impact.

Three patterns (industry composites):
Financial: Credit verification 94% confident (wrong) → Risk compounds to 96% → Approval finalizes at 98% → Bad loans approved with extreme confidence

Supply Chain: Demand forecasting drifts → Inventory compounds errors → Distribution optimizes for wrong demand → Obsolete inventory + revenue-killing stockouts

Energy: Multiple 2-3% errors within tolerance → Combined during peak → Critical failures + emergency costs

Cosmo Tech's Prescriptive Simulation Twins trace micro-errors magnifying across networks, quantifying cascade impact before it happens.

Monday: Why post-facto audit no longer works.

Can you map error propagation through YOUR agent network?
→ https://lnkd.in/g-XQXCpz

— Steve Litzow, Cosmo Tech

Your board stopped believing your forecast three quarters ago.
They just smile, nod, and mentally apply a 20% “sales optimism discount.”

The data explains why:
• Deal slippage jumped 12% → 22%
• Only 45% of sales leaders trust their forecast
• AI tools compressed buyer ROI expectations from 90 → 30 days

Your forecast didn’t get worse. Buyer psychology changed.

Teams tracking pipeline velocity weekly now hit 87% forecast accuracy.
Irregular tracking? 52%.

That 35-point gap is the difference between
🔹 being celebrated in board meetings
🔹 or explaining another miss.

What’s your forecast accuracy been over the last 3 quarters?
Drop it below 👇

Full breakdown → salesgss.com/newsletter

Part 4 of 10: Deploying agentic AI with confidence

Journey recap: Days 1-3 showed why agentic systems create cascading risk.

Today: Why traditional risk management fails for agentic systems.

Old paradigm (for deterministic systems): Deploy → Monitor → Audit when problems occur → Add controls reactively

This worked for RPA: failures were predictable, audit trails clear, problems contained.

Why this FAILS for agentic systems:

By the time you audit, damage has cascaded through multiple downstream systems.

The strategic shift:
From: Rearview mirror auditing To: Windshield prediction

Deploy agentic systems by ensuring safety and maximizing value during design and configuration—not after failure.

RTE transformation: France's transmission grid operator shifted to predictive simulation for decisions affecting 68 million people.

The new approach:
Predict interactions before deployment
Identify avalanche patterns from failure propagation
Validate outputs align with business value
Build resilience into design, not after failure

If your governance was built for deterministic automation, you're flying a jet with a car manual.

Wednesday: The simulation breakthrough making prediction practical.
→ https://lnkd.in/g-XQXCpz

— Steve Litzow, Cosmo Tech

The future of asset performance will be built on trusted, explainable intelligence — combining simulation and AI to drive better investment decisions.

Excited to see Cosmo Tech leading this conversation at the Asset Performance Conference next week in Antwerp.

#AI #Simulation #AssetPerformance #DigitalTransformation #Innovation

What does the future of asset performance look like when every decision is backed by trusted intelligence?

Find out on 𝗡𝗼𝘃𝗲𝗺𝗯𝗲𝗿 𝟱 𝗮𝘁 𝟯:𝟬𝟬 𝗣𝗠, when Steven C., Chief Commercial Officer, Asset Business, presents the innovation pitch “𝘛𝘳𝘶𝘴𝘵𝘦𝘥 𝘐𝘯𝘵𝘦𝘭𝘭𝘪𝘨𝘦𝘯𝘤𝘦 𝘧𝘰𝘳 𝘍𝘶𝘵𝘶𝘳𝘦-𝘙𝘦𝘢𝘥𝘺 𝘈𝘴𝘴𝘦𝘵 𝘗𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦” at the Asset Performance Conference in Antwerp.

Steven will reveal how 𝗖𝗼𝘀𝗺𝗼 𝗧𝗲𝗰𝗵 𝗔𝗜 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 empowers asset-intensive organizations to make confident, evidence-based investment decisions by modeling complex systems and testing strategies over time. 

Through a real client case, the first systemic application dedicated to Asset Investment Planning (AIP), and an AI Simulation Copilot demo, he will show how trusted, explainable AI drives transparent, resilient, and optimized asset performance.

Don’t miss this session, see you next week at 𝗕𝗼𝗼𝘁𝗵 𝗗𝟭!

#ai #aisimulation #assetmanagement #assetplanning #AIP #assetoptimization #assetperformance #digitaltransformation #innovation #energytransition

Your CFO already discounted your forecast.

While you’re focused on pipeline coverage multiples, 23% of your “healthy pipeline” is actually in the Kill Zone—deals open > 60 days with zero movement in the past 14 days.

Here’s what that means in reality:
🔻 Win rates drop 113% on deals past 60 days
⚠️ Your forecast becomes fiction the moment you present it
💀 The deals you’re counting on? Already dead—just still breathing

The teams hitting 87% forecast accuracy don’t track coverage ratios.
They track deal-velocity degradation.

Their rule:

“No Mutual Action Plan = No Commit.”

Every deal > $50K must have verified buyer actions—calendar holds, tech reviews, procurement milestones.
That single discipline cut slippage from 28% → 12% in one quarter.

The gap between 52% and 87% accuracy isn’t better reps or bigger pipeline.
It’s refusing to forecast deals with zero buyer verification.

This month’s SalesGSS Accelerator Index breaks down the buyer-signal framework replacing gut-feel forecasting at elite SaaS companies.

Read it here → salesgss.com/newsletter


What’s your slippage rate trend over the last 3 quarters?
(Be honest — we’re all learning here 👇)

#SalesLeadership #ForecastAccuracy #RevenueOperations #B2BSaaS #SalesGSS #SalesStrategy

Part 9 of 10: Deploying agentic AI with confidence

Recap: S&O validation + decision audits = governance foundation.

Today: Why most AI pilots fail to scale.

The pattern:
• Pilot (50 users, clean data): Success ✓
• Scale (5,000 users, messy data): Failure ✗

Why? Organizations scale deployment without scaling validation.

Three operational musts:

1. Scalable Deployment Architectural consistency. Centralized management. Validate EVERY configuration via optimization.

2. Expectation Validation at Scale Continuous monitoring comparing live vs. simulated results. Alert on deviation. Auto-re-simulate on drift.

3. Proactive Recovery Pre-tested failover protocols. Rapid identification. Systemic resilience.

Fortune 500 Retail success (847 stores):

Pilot: 12 stores, manual monitoring Scale approach:

• Validated every configuration in simulation
• Automated drift detection
• Pre-tested 50+ recovery scenarios
• Continuous re-validation

Result: 91% accuracy at scale (far exceeding industry averages)

Fermob & Groupe E: Validated each expansion phase through simulation.

Scaling = replicable reliability, not speed.

Monday: The board-level framework making this actionable.

→ https://lnkd.in/g-XQXCpz
— Steve Litzow, Cosmo Tech

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Jeremy Balius

Steve Litzow

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Jeremy Balius's LinkedIn Performance

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